Abstract
Characterization of various methods of fuzzy clustering is dealt with using the concept of probabilistic sets and their subjective entropy. General schemes of clustering techniques with objective performance-indices-criterion-functions are discussed. Various indices characterizing subjective entropy of clustered objects with respect to established classes, and indices expressing degree of interaction between clusters are mentioned.
| Original language | English |
|---|---|
| Pages (from-to) | 1-11 |
| Number of pages | 11 |
| Journal | Advances in modelling & simulation |
| Volume | 4 |
| Issue number | 2 |
| Publication status | Published - 1985 |
ASJC Scopus subject areas
- General Engineering
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